Condition monitoring and fault diagnosis of electric submersible pump based on wellhead electrical parameters and production parameters

Li, Lü; Hua, Chenquan; Xu, Xuan

doi:10.1080/21642583.2018.1548983

Cited by 10 publications

(10 citation statements)

References 8 publications

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“…The laboratory and field testing demonstrated the reliability of the method. Li et al [31] proposed an online ESP fault diagnosis that combines the ESP electrical and production parameters. They designed the algorithms that perform feature extraction, combining the electrical and production parameters.…”

Section: Esp Fault Monitoring and Diagnosis Reviewmentioning

confidence: 99%

A Nodal Analysis Based Monitoring of an Electric Submersible Pump Operation in Multiphase Flow

et al. 2022

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Electrical submersible pump (ESP) operation is compromised by free gas, resulting in premature pump failure and production losses in new wells. It is essential to detect the onset of abnormal operations. We develop a model that predicts abnormal ESP operation when the free gas level increases in the pump. The model compares operation parameters with the parameters of normal operating ranges; it shuts down the ESP when necessary. We used a Schlumberger PIPESIM software (version 2017.01) to perform nodal analysis technique; we tested the model using the other multiphase correlation model and field case studies (where the gas problem in ESP was reported). We employ a homogenous model to calculate the differential pump pressures at various gas volume fractions. Nodal analysis of the intake and discharge point predicted the commencement of abnormal ESP conditions and the associated parameters (critical gas fraction, minimum operating pump intake pressure, and pump discharge pressure). The model results were similar to other surging correlation models (e.g., Romero, Dunbar, Turpin, Cirilo, and Zhou models); they were also identical to field case studies. We identify three performance stability phases when an ESP is exposed to free gas. These are the normal and abnormal operating ranges, as well as the ESP shutdown condition. Modeling permits careful monitoring of ESP operations that can be compromised by free gas.

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Section: Esp Fault Monitoring and Diagnosis Reviewmentioning

confidence: 99%

A Nodal Analysis Based Monitoring of an Electric Submersible Pump Operation in Multiphase Flow

et al. 2022

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“…The previous literature includes applications that only deal with statistical analysis in a descriptive way, − , while the rest are diagnostic analyses. The diagnostic analysis literature can be divided into two groups.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approach for Predictive Maintenance of the Electrical Submersible Pumps (ESPs)

et al. 2022

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Electrical submersible pumps (ESPs) are considered the second-most widely used artificial lift method in the petroleum industry. As with any pumping artificial lift method, ESPs exhibit failures. The maintenance of ESPs expends a lot of resources, and manpower and is usually triggered and accompanied by the reactive process monitoring of multivariate sensor data. This paper presents a methodology to deploy the principal component analysis and extreme gradient boosting trees (XGBoosting) in predictive maintenance in order to analyze real-time sensor data to predict failures in ESPs. The system contributes to an efficiency increase by reducing the time required to dismantle the pumping system, inspect it, and perform failure analysis. This objective is achieved by applying the principal component analysis as an unsupervised technique; then, its output is pipelined with an XGBoosting model for further prediction of the system status. In comparison to traditional approaches that have been utilized for the diagnosis of ESPs, the proposed model is able to identify deeper functional relationships and longer-term trends inferred from historical data. The novel workflow with the predictive model can provide signals 7 days before the actual failure event, with an F1-score more than 0.71 on the test set. Increasing production efficiencies through the proactive identification of failure events and the avoidance of deferment losses can be accomplished by means of the real-time alarming system presented in this work.

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“…As important artificial lifting equipment, electric submersible pump perform an irreplaceable role in the secondary and tertiary oil recovery, which puts forward higher requirements for the application reliability of electric submersible pump [2]. The electric submersible pump (ESP) has been widely used in oil fields [3] for its advantages of high lift, large displacement, and convenience for management [4].…”

Section: Introductionmentioning

confidence: 99%

“…Also, Operators can use a downhole sensor to determine operating parameters in completions with ESP pumps and increase pump lifting efficiency while controlling the pump operating time. Therefore, it is of great significance to carry out the research on the theory and technology for fault diagnosis of the ESP [4].…”

Section: Introductionmentioning

confidence: 99%

Downhole Telemetry Systems to Monitor Electric Submersible Pumps Parameters in Oil Well

et al. 2021

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The electrical submersible pump (ESP) is widely used in the oil industry as an artificial lift method in deep wells, and its primary application of ESP is to increase the oil flow rate. Information such as the pump intake and discharge pressure, the oil reservoir and motor winding temperature, etc., provide critical data necessary to ensure proper ESP system operation and optimize production. In this paper, an ESP downhole parameter monitoring system is proposed. Potentiometers are used to generates analog signals, emulating the analog sensors. The information is sent up to the surface based on the current loop through the same power cable by DC signals overlapping to AC signals in the proposed design. The article details the construction of the communication protocol and electronic circuits used in telemetry. The tests were carried out in an oil-producing company to validate the proposed telemetry system's reliability and accuracy. The good results of the robust design demonstrated it to be a promising downhole sensor for industrial applications.

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Condition monitoring and fault diagnosis of electric submersible pump based on wellhead electrical parameters and production parameters

Abstract: Xu (2018) Condition monitoring and fault diagnosis of electric submersible pump based on wellhead electrical parameters and production parameters,

Cited by 10 publications

References 8 publications

A Nodal Analysis Based Monitoring of an Electric Submersible Pump Operation in Multiphase Flow

A Nodal Analysis Based Monitoring of an Electric Submersible Pump Operation in Multiphase Flow

Machine Learning Approach for Predictive Maintenance of the Electrical Submersible Pumps (ESPs)

Downhole Telemetry Systems to Monitor Electric Submersible Pumps Parameters in Oil Well

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